New global exponential stability criteria for interval-delayed neural networks

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 225, Issue 1, 2011, Pages 125-136

  Su, X ^a   Li, Z ^a   Feng, Y ^a   Wu, L ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

delay partitioning; global exponential stability; interval cellular neural networks; time delay

Indexed keywords

DELAY DEPENDENT CONDITIONS; DELAY PARTITIONING; DELAYED CELLULAR NEURAL NETWORKS; DELAYED NEURAL NETWORKS; GLOBAL EXPONENTIAL STABILITY; GLOBAL ROBUST EXPONENTIAL STABILITIES; GLOBALLY EXPONENTIALLY STABLE; INTERVAL CELLULAR NEURAL NETWORKS; LYAPUNOV; NUMERICAL EXAMPLE; INTERVAL DELAYED NEURAL NETWORKS;

EXPONENTIAL FUNCTIONS; LINEAR MATRIX INEQUALITIES; ROBUSTNESS (CONTROL SYSTEMS); STABILITY CRITERIA; TIME DELAY; TIME VARYING NETWORKS; WIRELESS NETWORKS; MOBILE SECURITY; NEURAL NETWORKS;

CELLULAR NEURAL NETWORKS;

EID: 79951802698     PISSN: 09596518     EISSN: None     Source Type: Journal    
DOI: 10.1243/09596518JSCE1066     Document Type: Conference Paper

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